Becca Tobery

Resume

PROFILE

Data scientist and analytics engineer with 7+ years of hands-on experience spanning healthcare claims analysis, causal inference research, enterprise data warehouse design, and full-stack BI development. I've built forecasting systems handling 50,000+ units per month, designed PSM-based studies demonstrating statistically significant clinical outcomes, and architected EDW schemas from the ground up — all while keeping the humans who use the data firmly in mind. My work sits at the intersection of rigorous statistical thinking and practical product delivery.

I'm a PNW native who has lived in 13 countries, worked across environmental science, public health, humanitarian NGOs, and commercial healthcare startups. I hold two University of Washington degrees and bring the analytical habits of a researcher with the delivery instincts of a startup data scientist. I believe data is the most powerful instrument for making the world work better — and I bring that conviction to every dataset I touch.

TECHNICAL SKILLS

Languages

Python (Pandas, sklearn, NumPy, PsmPy, matplotlib, seaborn, scipy, statsmodels) · SQL (expert) · R

Modeling

Propensity Score Matching (PSM) · Causal Inference · Forecasting & Predictive Modeling · Retention & ROI Modeling · kNN · Statistical Hypothesis Testing · Anomaly Detection

Data Engineering

ETL / ELT Pipeline Development · EDW Architecture & Schema Design · RDBMS Design & Migration · dbt · Data Quality Frameworks · SQL Migration

BI & Visualization

Power BI (20+ production dashboards) · Looker · Tableau · Excel · Jupyter Notebooks

Geospatial

ArcGIS · Geospatial data analysis · Environmental mapping

Other

AI Workflow Automation & Integration · Science Communication · Boardroom-ready deck design

PROFESSIONAL EXPERIENCE

Healthrageous · Data Scientist · Seattle, WA (Remote) January 2023 – 2026

Healthrageous is a healthcare startup operating at the intersection of food-as-medicine and value-based care, serving commercial health plan members with nutrition-forward interventions. As the primary data scientist, I owned the analytics stack end-to-end — from raw claims ingestion to executive-facing dashboards — across a dataset of millions of member records, insurance claims, and behavioral data points.

Key Achievement: Designed and executed a PSM-based observational study demonstrating statistically significant reductions in ER and inpatient expenses attributable to food-as-medicine interventions — a genuine real-world evidence contribution in a commercial healthcare setting.

▸ Built forecasting models for a ~50,000 unit/month e-commerce environment, achieving <2% variance from actuals — directly informing inventory purchasing, revenue projections, and financial planning.

▸ Developed PSM-based retention models identifying a 10% lift in member retention, validated with statistical hypothesis testing and presented to executive leadership.

▸ Modeled food-as-medicine impact on medical expense using propensity score matching on insurance claims data, demonstrating statistically significant ER/IP cost reduction — a publishable-quality observational study.

▸ Engineered analytics pipelines across millions of member records, healthcare claims, and behavioral datasets; executed SQL migrations and contributed to enterprise data warehouse architecture design.

▸ Built and maintained 20+ Power BI dashboards serving 30+ users across finance, product, and clinical operations; reduced manual reporting time by 40%.

▸ Integrated AI workflow automation across data processing pipelines, reducing pipeline execution time and analyst bottlenecks at multiple stages.

▸ Managed financial forecasting, invoice reconciliation, and month-end close analytics as part of the data function.

Beckley Clinical · Data Consultant · Remote 2026 – Present

Beckley Clinical is a clinical-stage company working in the psychedelic medicine and mental health space. I provide data consulting support across BI development, data infrastructure design, and clinical study datasets.

▸ Designed and built client-facing BI dashboards in Power BI supporting clinical trial data tracking and sales reporting.

▸ Assisted in EDW schema design for third-party data systems, defining source-to-consumption data flows and governance structures.

▸ Built a structured study dataset using AI-augmented data workflows, improving data processing throughput by 10×.

▸ Ongoing support across data quality review, analytics infrastructure, and ad hoc reporting needs.

eGourmet · Data Consultant · Remote 2026 – Present

eGourmet is an e-commerce food operator. I provide part-time data consulting support focused on workflow modernization and boardroom analytics.

▸ Audit and optimize data workflows; identify quality gaps and implement QA processes.

▸ Build boardroom-ready analytics and visualization assets for executive decision-making.

▸ Integrate AI tools into reporting pipelines to reduce manual processing overhead.

NeuLife · Data Consultant · Remote November 2024 – March 2025

NeuLife is a neurological rehabilitation provider. I provided focused data consulting to strengthen their data foundation for sales and operations.

▸ Investigated data quality, completeness, and accuracy across operational datasets; documented findings and remediation paths.

▸ Designed and built client-facing Power BI dashboards to support sales conversations and business development.

▸ Designed relational database and EDW structure for a third-party technology build, defining schema, entity relationships, and data governance conventions.

University of Washington — IHME · Data Analyst & Site Coordinator (Volunteer) · Seattle, WA April – August 2022

The Institute for Health Metrics and Evaluation (IHME) at UW is one of the world's leading global health research organizations, responsible for the Global Burden of Disease (GBD) study — the most comprehensive epidemiological dataset in existence.

▸ Processed, cleaned, and QC'd large-scale epidemiological datasets supporting the Global Burden of Disease study — data that informs international health policy at the WHO and country levels.

▸ Led development of interactive public health dashboards in Power BI for research communication and stakeholder reporting.

▸ Assisted in the development of anomaly detection models to flag inconsistencies in multi-country mortality and morbidity datasets.

▸ Served as site coordinator, supporting research operations and cross-team data workflows.

AmeriCorps — Peace Community Center · Academic Coach & Data Specialist · Tacoma, WA November 2020 – November 2021

Peace Community Center is a nonprofit serving systemically oppressed communities in Tacoma. My AmeriCorps role combined direct student impact with data systems work.

▸ Led ETL migration of academic performance datasets using SQL and R; built standardized reporting tools that improved program visibility and donor reporting.

▸ Designed and maintained data tracking systems for student outcomes across reading, writing, and STEM programs.

▸ Mentored elementary-age students from systemically marginalized backgrounds in reading, writing, and STEM — directly serving the communities my work was meant to support.

United Nations — Sub-Saharan Africa HQ · Data & Analytics Consultant · Sub-Saharan Africa October 2018 – November 2019

Embedded within the United Nations' Sub-Saharan Africa operations, I provided data and geospatial analytics support for wildlife trafficking interdiction programs — one of the world's most data-constrained, high-stakes environments.

▸ Collected, tabulated, analyzed, and visualized geospatial data in ArcGIS and proprietary UN BI platforms to map Great Ape smuggling networks and trafficking routes.

▸ Produced data-driven findings in R that directly supported government action against wildlife trafficking operations.

▸ Operated effectively across multiple countries and institutional contexts, navigating language barriers, data scarcity, and politically sensitive environments.

University of Washington — College of the Environment · Volunteer Researcher · Seattle, WA September 2015 – January 2017

Participated in active field and laboratory research projects across environmental science disciplines during undergraduate study.

▸ Conducted field research across multiple concurrent projects: black-tail deer population density, white pine blister rust fungus spatial mapping, Hoh National Park stream ecology, and scaphinotus beetle density studies.

▸ Tabulated and analyzed field data using R and SQL; contributed to research reports and data visualization.

▸ Applied environmental sampling techniques, GPS data collection, and GIS-assisted spatial analysis in field settings.

Hacienda del Sol Adult Family Home · General Manager · Woodinville, WA November 2012 – February 2020

Adult family home providing residential care for adults with complex medical needs. Managed full operations while simultaneously completing undergraduate and graduate studies.

▸ Directed day-to-day operations, logistics, compliance, staffing, and care delivery across a regulated healthcare residential facility.

▸ Overhauled internal record-keeping and documentation systems; managed state regulatory audits and licensing compliance.

▸ Developed operational data tracking for resident care metrics, staffing, and regulatory reporting — an early application of data systems thinking to healthcare operations.

▸ Led a small team through eight years of complex, high-stakes environments requiring sound judgment, composure, and organizational clarity.

EDUCATION

M.S., Information Management — Data Science Track · Focus: Statistical modeling, machine learning, data systems University of Washington

B.S., Environmental Science & Resource Management · Minor: Quantitative Science (Statistics)
University of Washington

A.S., Pre-Nursing & Sciences · Foundational coursework in biology, chemistry, patient care Lake Washington Institute of Technology

WHAT MAKES ME DIFFERENT

I am not a data scientist who learned healthcare — I am someone who has cared for patients, lived in the communities my data describes, and worked at the UN, in AmeriCorps, and in research labs where the stakes of getting it wrong are measured in lives and policy. My statistical work is grounded in that context. That's not something you hire for; it's something you grow into.

▸ End-to-end ownership: I've built the pipeline, designed the database, written the model, built the dashboard, and presented the findings — in the same week, for the same project.

▸ Causal reasoning in messy real-world data: PSM and observational study design in healthcare environments where randomized controlled trials aren't possible — the gold standard for real-world evidence.

▸ Context-switching across technical and non-technical audiences: from boardroom decks to Python notebooks to client-facing BI dashboards, I translate across registers fluently.

▸ Field-tested adaptability: having conducted research in Sub-Saharan Africa, worked across 13 countries, and navigated data scarcity in high-stakes environments, I don't panic when the data is imperfect.

▸ Mission alignment: I've chosen roles not for their prestige but for their impact — environmental research, public health, humanitarian data, healthcare — and I bring genuine conviction to that work.

Open to remote roles and Greater Seattle area positions · Available for full-time, fractional, or consulting engagements